Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/117261
Title: Multi-layer model simulation and data assimilation in the serangoon harbor of Singapore
Authors: Wei, J.
Zheng, H.
Chen, H.
Ooi, B.H.
Dao, M.H. 
Cho, W.
Malanotte-Rizzoli, P.
Tkalich, P. 
Patrikalakis, N.M.
Keywords: ADCP
Baroclinic flow
Data assimilation
Kalman filter
Ocean modeling
Issue Date: 2010
Citation: Wei, J.,Zheng, H.,Chen, H.,Ooi, B.H.,Dao, M.H.,Cho, W.,Malanotte-Rizzoli, P.,Tkalich, P.,Patrikalakis, N.M. (2010). Multi-layer model simulation and data assimilation in the serangoon harbor of Singapore. Proceedings of the International Offshore and Polar Engineering Conference 2 : 413-418. ScholarBank@NUS Repository.
Abstract: In June of 2009, a sea trial was carried out around Singapore to study and monitor physical, biological and chemical oceanographic parameters. Temperature, salinity and velocities were collected from multiple vehicles. The extensive data set collected in the Serangoon Harbour provides an opportunity to study barotropic and baroclinic circulation in the harbour and to apply data assimilation methods in the estuarine area. In this study, a three-dimensional, primitive equation coastal ocean model (FVCOM) with a number of vertical layers is used to simulate barotropic and baroclinic flows and reconstruct the vertical velocity structures. The model results are validated with in situ ADCP observations to assess the realism of the model simulations. EnKF data assimilation method is successively implemented to assimilate all the available ADCP data, and thus correct for the model forecast deficiencies. © 2010 by The International Society of Offshore and Polar Engineers (ISOPE).
Source Title: Proceedings of the International Offshore and Polar Engineering Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/117261
ISBN: 9781880653777
ISSN: 10986189
Appears in Collections:Staff Publications

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